IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-570-6_89.html

Research on the Impact and Mechanism of Technological Innovation on the High-Quality Development of China’s Logistics Industry

In: Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

Author

Listed:
  • Jun Wan

    (Liaoning Technical University)

  • Linghao Li

    (Liaoning Technical University)

Abstract

This paper selects the balanced panel data of 31 provinces in China from 2015 to 2020, and utilizes benchmark regression, mediated effect regression, double fixed effect model, and least squares regression to study the impact of technological innovation on the high-quality development of China’s logistics industry and the mechanism of influence. The results show that technological innovation obviously promotes the high-quality development of the logistics industry, and this conclusion still holds after a series of robustness tests, and the transportation level is an important mechanism for technological innovation to promote the high-quality development of the logistics industry. Finally, the samples are categorized according to the level of economic development, and group regression is carried out, and it is found that the influence of technological innovation on the high-quality development of China’s logistics industry is the highest in the areas with medium level of economic development, followed by the areas with high level of economic development, but there is an inhibitory effect in the areas with low level of economic development. Finally, corresponding policy recommendations are put forward to provide new ideas for the high-quality development of China’s logistics industry.

Suggested Citation

  • Jun Wan & Linghao Li, 2024. "Research on the Impact and Mechanism of Technological Innovation on the High-Quality Development of China’s Logistics Industry," Advances in Economics, Business and Management Research, in: Valentin Vasilev & Cătălin Popescu & Yanhong Guo & Xiaolin Li (ed.), Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), pages 882-894, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-570-6_89
    DOI: 10.2991/978-94-6463-570-6_89
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-570-6_89. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.